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Author (down) Lennart Landsberg; David Ganske; Christopher Munschauer; Ompe Aimé Mudimu pdf  isbn
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  Title Using Existing Data to Support Operational Emergency Response in Germany – Current Use Cases, Opportunities and Challenges Type Conference Article
  Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020  
  Volume Issue Pages 406-415  
  Keywords Emergency Response; Data Analytics; Artificial Intelligence (AI); Dispatch Strategies; Resilience  
  Abstract The availability of resources in the fire and ambulance services in Germany is facing a radical change. Demographic and social transition is reducing the availability of volunteer personnel, and increasing traffic congestion in cities is resulting in longer travel times for emergency vehicles. This paper presents the findings of the definition phase of a research project that addresses these changes. It shows the basic idea of how resilience of fire and ambulance services can be improved by analyzing operational data from past incidents using artificial intelligence (AI). The primary objective is the development of a decision support system for control center dispatchers, which ensures optimal use of available resources. As the result of the definition phase, this paper gives an overview of existing data, current as well as future use cases and also highlights risks and challenges that have to be considered.  
  Address TH Köln; TH Köln; TH Köln; TH Köln  
  Corporate Author Thesis  
  Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 978-1-949373-27-39 ISBN 2411-3425 Medium  
  Track Data and Resilience: Opportunities and Challenges Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management  
  Notes lennart_walter.landsberg@th-koeln.de Approved no  
  Call Number Serial 2240  
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